Input data conditioning is very important to assure calculation accuracy, application performance and availability of these types of critical applications:

dynamic applications

Inferential property calculations

Advanced regulatory control

Model predictive control

Process optimization

steady state applications

Real-time process optimization (RTO)

Real-time Process simulation models

Heat and material balance calculations

artificial intelligence

Machine learning algorithms

Deep learning algorithms

Predictive analytics applications

The DATA QUALITY UTILITY enables the construction of a data validation layer implemented for all critical source inputs for any of the applications referenced above plus others to provide "clean" source values as inputs.

The DATA QUALITY UTILITY automates the creation of parallel tags for raw inputs into which both the validated and filtered results with reason codes are written and stored continuously in real-time within the PI System archive.